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Maritime Surveillance Sensing Using Underwater High Frequency Acoustic Communication Receivers

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H92222-06-P-0071
Agency Tracking Number: S062-013-0090
Amount: $99,834.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SOCOM06-013
Solicitation Number: 2006.2
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-09-18
Award End Date (Contract End Date): 2007-03-18
Small Business Information
12730 High Bluff Drive, Suite 130
San Diego, CA 92130
United States
DUNS: 167663223
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Paul Hursky
 Chief Engineer/Principal Scientist
 (858) 755-9649
Business Contact
 Michael Porter
Title: President and C.E.O.
Phone: (858) 755-9646
Research Institution

The Navy, the academic oceanographic community and the oil industry have embraced the use of underwater acoustic modems to take advantage of the many benefits that wireless operation brings to their applications. In this proposed SBIR effort, HLS Research Inc will take advantage of the resources already present in an acoustic modem, namely the acoustic pressure sensors and the signal processing capability, to develop detection, classification and localization/tracking algorithms for exploiting passively sensed acoustic data when the communications functions are not being used. The goal is to provide acoustic situational awareness of transiting surface ships and undersea platforms, using their acoustic signatures. HLS Research has organized or participated in a variety of high-frequency at-sea experiments, focused on both acoustic communications and marine mammal studies (where the passage of surface and other ships was of course an interference), in which high-frequency raw time series was recorded for days or weeks at a time, often on arrays of hydrophones. HLS Research will also take advantage of additional data-collection opportunities as they arise. These datasets will provide realistic data for a convincing demonstration of feasibility in this Phase I effort.

* Information listed above is at the time of submission. *

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